Big Data Do's and Don'ts
Daily smartphone and computer usage means that the volume of data is expanding rapidly. Based on IBM study, worldwide, people are already generating 2.5 quintillion bytes of data each day. Today, Big Data technology is being embraced by companies from various different industries due to its incredible potential for monetization. The market for Big Data is estimated to grow with an estimated $77 billion, according to Statista. Here are some do's and don'ts that you need to consider in order to better understand and get the most value and prevent errors when implementing Big Data.
Do involve all business units in your big data strategy and don’t leave it solely to the data analysts
With powerful computers and advanced software, Big Data can help you reveal unsuspected patterns and trends. To be able to get the whole picture, the implementation of Big Data needs to involve all business units in your big data strategy, instead just using snapshots of the data. Involving all business units in your big data implementation can help you discover some new emerging patterns that may be left out when you only involve a small group of people in your organization. Not only that, Big Data implementation cannot be assigned solely to data analysts. The CEO and senior management have to stay on top of what the data is telling them, lead the analytics team in addressing real business concerns, and work constantly to make sure all the data is being targeted at intelligent investment.
Do think strategically, yet act tactically
With strategic goals in place, it will be easier for an organization to not only focus on building a platform to solve a specific business problem and experimenting with Big Data analytics, but also on solving key important issues in your organizations. Having a tactical plan can help you track and monitor the progress of the implementation of Big Data and ensure your company gets the most benefit out of it. Even though the implementation of Big Data can make a difference to your organization, it is important for you to start with pilot projects first, therefore you can evaluate your implementation better before expanding it to the whole organization. It is also very important to work with experts who can keep you from making mistakes because of inexperience.
Do take a stepwise approach and don’t go big with your data before you are ready
Stepwise approach is proven to be one of the successful methods in implementing Big Data. It usually starts by solving a known problem in a new way, then solves the same problem with new data, and then moves on to solving new problems with new data. The organizations taking a stepwise approach have the highest likelihood to achieve success. Not only that, security should always be your top priority too. When companies embark on big data analysis, they often forget to maintain the same level of data security and governance that is assumed in traditional data management environments. It is very important to manage your Big Data securely.
Business can leverage huge volumes of data to learn more about customers, processes, and events. If executed properly, a Big Data Indonesia can have a huge impact on the effectiveness of a business strategy. Every aspect of a modern company can be improved using big data, and the importance of Big Data in business is unquestionable. Understanding the do’s and don’ts of Big Data can help your organization to make long-term wise decisions.